Package org.tensorflow.framework.optimizers

package org.tensorflow.framework.optimizers

Class	Description
AdaDelta	Optimizer that implements the Adadelta algorithm.
AdaGrad	Optimizer that implements the Adagrad algorithm.
AdaGradDA	Optimizer that implements the Adagrad Dual-Averaging algorithm.
Adam	Optimizer that implements the Adam algorithm.
Adamax	Optimizer that implements the Adamax algorithm.
Ftrl	Optimizer that implements the FTRL algorithm.
GradientDescent	Basic Stochastic gradient descent optimizer.
Momentum	Stochastic gradient descent plus momentum, either nesterov or traditional.
Nadam	Nadam Optimizer that implements the NAdam algorithm.
Optimizer	Base class for gradient optimizers.
Optimizer.GradAndVar<T extends TType>	A class that holds a paired gradient and variable.
Optimizer.Options	Optional attributes for Optimizer
Optimizers	Enumerator used to create a new Optimizer with default parameters.
RMSProp	Optimizer that implements the RMSProp algorithm.